• Infrared and Laser Engineering
  • Vol. 48, Issue 1, 118003 (2019)
Pei Xinbiao1、2、*, Wu Helong1、2, Ma Ping1、2, Yan Yongfeng3, Hao Peng4, and Bai Yue1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
  • 4[in Chinese]
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    DOI: 10.3788/irla201948.0118003 Cite this Article
    Pei Xinbiao, Wu Helong, Ma Ping, Yan Yongfeng, Hao Peng, Bai Yue. Design and experiment of multi rotor UAV control system with spectral remote sensing load[J]. Infrared and Laser Engineering, 2019, 48(1): 118003 Copy Citation Text show less

    Abstract

    As a new low-cost remote sensing platform, rotor UAV has been paid much attention by researchers and applications. Rotor UAV equipped with commercial remote sensing has many advantages, such as high ground resolution, quick response and easy maintenance, which make up for the shortcomings of traditional remote sensing, in practical use the anti-interference ability has become an important part of the remote sensing system of the rotor. In order to make up for the lack of conventional multi rotor torque heading control, firstly, six axis twelve-rotor UAV structure was designed and its dynamic model was established, then according to the anti disturbance capability of agricultural remote sensing platform requirements, the special algorithm of active disturbance rejection controller(ADRC) was designed with differential tracker, extended state observer and nonlinear state error feedback control law. Secondly, the stability and effectiveness of the controller was verified by simulation. The real wind disturbance test shows that the control algorithm maintains good trajectory tracking characteristics under the influence of instantaneous wind disturbance of 11.2 m/s. Finally, the UAV equipped with self-developed commercial high micro spectrometer MNS2001 and two axis stabilized in six axis twelve tilt rotor, fixed spectral remote sensing measurements in a particular area of rice over 300-900 nm in the spectral range, spectral reflectance hovering over the region of multiple measurement relative error was less than 5%. The test results show that the rotor has a good platform for remote sensing stability and reliability can be further applied in the field of agricultural remote sensing and auxiliary production management.
    Pei Xinbiao, Wu Helong, Ma Ping, Yan Yongfeng, Hao Peng, Bai Yue. Design and experiment of multi rotor UAV control system with spectral remote sensing load[J]. Infrared and Laser Engineering, 2019, 48(1): 118003
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